Improve the projection of East China summer precipitation with emergent constraints

被引:0
|
作者
Zhu, Huanhuan [1 ,2 ]
Jiang, Zhihong [2 ]
Li, Laurent [3 ]
Li, Wei [2 ]
Jiang, Sheng [2 ]
机构
[1] Wuxi Univ, Key Lab Ecosyst Carbon Source & Sink, China Meteorol Adm, Wuxi, Peoples R China
[2] Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteorol, Key Lab Meteorol Disaster, Minist Educ, Nanjing, Peoples R China
[3] Sorbonne Univ, Ecole Normale Super, Ecole Polytech, Lab Meteorol Dynam,CNRS, Paris, France
来源
NPJ CLIMATE AND ATMOSPHERIC SCIENCE | 2024年 / 7卷 / 01期
基金
中国国家自然科学基金;
关键词
GLOBAL PRECIPITATION; MONSOON CIRCULATION; CMIP5; VARIABILITY;
D O I
10.1038/s41612-024-00863-3
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Under global warming, summer precipitation over East China was projected to increase by current state-of-the-art climate models, but a large inter-model spread exists. Here we try to reduce the projection uncertainty by imposing constraints. Our procedure consists of first decomposing the projected future precipitation into inter-model principal components. The two leading modes (region-wide uniform monopole and north-south dipole, accounting for 55% of variability), by emergent constraints, are then linked to the simulation of historical precipitation in the northwest Pacific and the tropical Pacific (constraining areas). This allows us to reduce the uncertainties by 23% and obtain a smaller increase of projected precipitation in East China, relative to previous multi-model ensemble projections. Quasi-uniform increases, although weak, are obtained for the first mode, while the second mode shows a contrast pattern with a decrease in the south and an increase in the north, which both contribute to the spatial structure of constrainted projection. It is also shown that the emergent relations of both modes are physically consistent, with an enhancement of future zonal land-sea thermal contrast and a La Ni & ntilde;a-like pattern, respectively. The use of emergent constraints inspires more confidence in the future regional precipitation projection and helps policymakers and stakeholders adjust their management policies.
引用
收藏
页数:9
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